Durga Toshniwal

Cited by

	All	Since 2019
Citations	5767	4586
h-index	35	30
i10-index	92	70

1100

550

275

825

200920102011201220132014201520162017201820192020202120222023202415 23 35 70 87 91 135 145 239 291 343 520 816 1066 997 825

Public access

View all

2 articles

available

not available

Based on funding mandates

Co-authors

Jatin BediIndian Institute of Technology RoorkeeVerified email at cs.iitr.ac.in
Pratima Kumari, Ph.D.University of California, SF | IIT RoorkeeVerified email at cs.iitr.ac.in
Deeksha Arya, Ph.D.The University of Tokyo JapanVerified email at iis.u-tokyo.ac.jp
Sanjay Kumar GhoshProfessor & Former HOD, Civil Engineering, IIT Roorkee, Roorkee, Member BOGVerified email at ce.iitr.ac.in
Patil BankatProfessor in Computer Science Dept. Dr.BAMUVerified email at iitr.ac.in
Yoshihide SekimotoUniversity of TokyoVerified email at iis.u-tokyo.ac.jp
Dr. Keshavamurthy B.N.National Institute of Technology GoaVerified email at nitgoa.ac.in
APEKSHA AGGARWALIndian Institute of Technology RoorkeeVerified email at cs.iitr.ac.in
Manoranjan ParidaProfessor, Civil Engineering Department, Indian Institute of Technology RoorkeeVerified email at ce.iitr.ac.in
Nagamma PatilAssociate Professor, IT Dept, NITK SurathkalVerified email at nitk.edu.in
Chandresh Kumar MauryaAssistant Professor at IIT IndoreVerified email at iiti.ac.in
Shivani SharmaThapar Institute of Engineering and TechnologyVerified email at nitj.ac.in
Brijraj SinghSony ResearchVerified email at sony.com
Arun ChauhanSamsung Research Institute BangaloreVerified email at samsung.com
Rishiraj Saha RoyNLP Researcher at Fraunhofer IISVerified email at iis.fraunhofer.de
Arpit BahetiStudent, IIT RoorkeeVerified email at iitr.ac.in
Dr. Mridula VermaIDRBTVerified email at idrbt.ac.in
Krishna KummamuruAccentureVerified email at accenture.com
Michael SteinbachUniversity of MinnesotaVerified email at umn.edu
Shyam BoriahXylemVerified email at cs.umn.edu

Durga Toshniwal

Indian Institute of Technology Roorkee India

Verified email at cs.iitr.ac.in - Homepage

Artificial Intelligence and Machine Learning Data Mining Intelligent Transportation Systems Time Series Data Mining privacy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep learning framework to forecast electricity demand J Bedi, D Toshniwal Applied energy 238, 1312-1326, 2019	465	2019
Hybrid prediction model for type-2 diabetic patients BM Patil, RC Joshi, D Toshniwal Expert systems with applications 37 (12), 8102-8108, 2010	276	2010
Deep learning models for solar irradiance forecasting: A comprehensive review P Kumari, D Toshniwal Journal of Cleaner Production 318, 128566, 2021	254	2021
Impact of lockdown measures during COVID-19 on air quality–A case study of India P Kumari, D Toshniwal International Journal of Environmental Health Research 32 (3), 503-510, 2022	243	2022
A data mining approach to characterize road accident locations S Kumar, D Toshniwal Journal of Modern Transportation 24, 62-72, 2016	234	2016
Empirical mode decomposition based deep learning for electricity demand forecasting J Bedi, D Toshniwal IEEE access 6, 49144-49156, 2018	206	2018
Impact of lockdown on air quality over major cities across the globe during COVID-19 pandemic P Kumari, D Toshniwal Urban climate 34, 100719, 2020	205	2020
A data mining framework to analyze road accident data S Kumar, D Toshniwal Journal of Big Data 2, 1-18, 2015	199	2015
Extreme gradient boosting and deep neural network based ensemble learning approach to forecast hourly solar irradiance P Kumari, D Toshniwal Journal of Cleaner Production 279, 123285, 2021	198	2021
Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting P Kumari, D Toshniwal Applied Energy 295, 117061, 2021	178	2021
Deep learning-based road damage detection and classification for multiple countries D Arya, H Maeda, SK Ghosh, D Toshniwal, A Mraz, T Kashiyama, ... Automation in Construction 132, 103935, 2021	147	2021
Association rule for classification of type-2 diabetic patients BM Patil, RC Joshi, D Toshniwal 2010 second international conference on machine learning and computing, 330-334, 2010	147	2010
Global road damage detection: State-of-the-art solutions D Arya, H Maeda, SK Ghosh, D Toshniwal, H Omata, T Kashiyama, ... 2020 IEEE International Conference on Big Data (Big Data), 5533-5539, 2020	135	2020
Feature based summarization of customers’ reviews of online products K Bafna, D Toshniwal Procedia Computer Science 22, 142-151, 2013	132	2013
RDD2020: An annotated image dataset for automatic road damage detection using deep learning D Arya, H Maeda, SK Ghosh, D Toshniwal, Y Sekimoto Data in brief 36, 107133, 2021	120	2021
Transfer learning-based road damage detection for multiple countries D Arya, H Maeda, SK Ghosh, D Toshniwal, A Mraz, T Kashiyama, ... arXiv preprint arXiv:2008.13101, 2020	109	2020
Analysis of hourly road accident counts using hierarchical clustering and cophenetic correlation coefficient (CPCC) S Kumar, D Toshniwal Journal of Big Data 3, 1-11, 2016	91	2016
RDD2022: A multi‐national image dataset for automatic road damage detection D Arya, H Maeda, SK Ghosh, D Toshniwal, Y Sekimoto Geoscience Data Journal, 2022	88	2022
Analysing road accident data using association rule mining S Kumar, D Toshniwal 2015 International Conference on Computing, Communication and Security …, 2015	86	2015
Energy load time-series forecast using decomposition and autoencoder integrated memory network J Bedi, D Toshniwal Applied Soft Computing 93, 106390, 2020	80	2020

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors